Cell-type deconvolution methods for spatial transcriptomics

Lucie C Gaspard-Boulinc

doi:10.1038/s41576-025-00845-y

2025-05-14

PRE

Lucie C Gaspard-Boulinc

Luca Gortana

Thomas Walter

Emmanuel Barillot

Florence M.G. Cavalli *

DOI：10.1038/s41576-025-00845-y

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摘要

En 中文

空间转录组学是一种研究细胞空间组织的高效方法，而空间组织是多细胞生命体发育、功能及进化中的关键特征。然而，基于测序的空间转录组学尚未达到细胞水平分辨率，因此需要先进的解卷积方法来推断数据中每个位置上的细胞类型贡献。近期进展已催生出多种细胞类型解卷积工具，这些工具正助力描述健康与疾病状态下的组织架构。在本综述中，我们描述了空间转录组学中各种类型的细胞类型解卷积方法，对比了它们的功能，并总结为基于网页的交互式表格，以实现更高效的方法选择。细胞类型解卷积方法常用于分析空间转录组数据以恢复细胞类型分布。在本综述中，作者描述了细胞类型解卷积的过程，对比了现有工具，并强调了选择工具时的重要考量因素。

期刊

Nature Reviews Genetics

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4.0K

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4.3W

机构

Institut Curie

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4.9K

论文数: 3.4K

被引数: 1.3W

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